Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …

In recent years, there has been a growing demand for renewable energy sources, which are
inherently associated with a decentralized distribution and dependent on weather …

In this article, a novel weakly supervised machine learning approach is proposed for
intelligent predictive maintenance (IPdM). It employs balanced random forest and multiple …

Accurate and reliable forecasting is a crucial task in many different domains. The selection of
a forecasting algorithm that is suitable for a specific time series can be a challenging task …

An enormous ripple effect can occur in financial data mining if it accurately predicts stock
prices. However, predicting stock prices using only stock price data is difficult because of the …

This study aims to develop a predictive and reliable data-driven model for forecasting the
fluid production (oil, gas, and water) of existing wells and future infill wells for CO2 …

Monitoring and forecasting hospitalization rates are of essential significance to public health
systems in understanding and managing overall healthcare deliveries and strategizing long …

The increasing occurrence of Harmful Algal Blooms (HABs) in water systems poses
significant challenges to ecological health, public safety, and economic stability globally …

Quantum machine learning (QML) has emerged as a promising domain offering significant
computational advantages over classical counterparts. In recent times, researchers have …

The use of data-driven algorithms for the integration or substitution of current production
sensors is becoming a consolidated trend in research and development in the automotive …